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dc.contributor.authorKravchuk, O.en
dc.contributor.authorHu, J.en
dc.identifier.citationCommunications in Statistics-simulation and Computation, 2008; 37(6):1052-1063en
dc.description.abstractThe generalized secant hyperbolic distribution (GSHD) was recently introduced as a modeling tool in data analysis. The GSHD is a unimodal distribution that is completely specified by location, scale, and shape parameters. It has also been shown elsewhere that the rank procedures of location are regular, robust, and asymptotically fully efficient. In this article, we study certain tail weight measures for the GSHD and introduce a tail-adaptive rank procedure of location based on those tail weight measures. We investigate the properties of the new adaptive rank procedure and compare it to some conventional estimators.en
dc.description.statementofresponsibilityO. Y. Kravchuk and J. Huen
dc.publisherMarcel Dekker Incen
dc.rightsCopyright © Taylor & Francis Group, LLCen
dc.subjectAdaptive rank estimator; Generalized secant hyperbolic distribution; location problem; tail weighten
dc.titleTail-adaptive Location Rank Test for the Generalized Secant Hyperbolic Distributionen
dc.typeJournal articleen
pubs.library.collectionAgriculture, Food and Wine publicationsen
dc.identifier.orcidKravchuk, O. [0000-0001-5291-3600]en
Appears in Collections:Agriculture, Food and Wine publications

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